This page includes upcoming events organized by OMARI, by the University of Ottawa or by other organizations involved in medical AI, in Canada and around the world.
For information on past sessions, such as links to presentations, recordings and other resources where available, please visit the OMARI blog.
June 15, 2026
Ottawa, Ontario
Artificial intelligence continues to transform higher education at the University of Ottawa. Discover how Copilot agents can enhance teaching, research and academic work in practical and meaningful ways.
On June 15, 2026, join the Microsoft Learn Copilot Agents for Academics Bootcamp, a full-day, hands-on workshop designed for educators who want to move beyond basic AI prompting. This session offers a unique opportunity to learn from peers and explore how Microsoft 365 Copilot agents can be used to accelerate academic work.
Participants will explore Copilot agents Researcher and Analyst, and be guided through designing, configuring and using their own agents to support work in real academic contexts.
Brought to you by Information Technology, Microsoft and INNOVA.
July 7-10, 2026
University of Ottawa
The International Conference on Artificial Intelligence in Medicine (AIME) has served as a foundational gathering for the global AI-in-health community for over 40 years. AIME has become a collaborative tradition uniting clinicians, computer scientists, biomedical researchers, and health system leaders to advance intelligent systems in healthcare. AIME 2026 will bring the global community together to reflect, connect, and look forward to the future of AI in medicine. The conference will offer a unique opportunity to engage with global leaders, present transformative research, and shape the future of AI in medicine. Organized by the Society for Artificial Intelligence in Medicine.
September 22 - 24, 2026
Ottawa
Artificial intelligence (AI) is rapidly transforming health professions education, research, and care. While enthusiasm is high, many educators and leaders struggle with how to implement AI responsibly and equitably. Backed by rigorous research, the Health CARE-AI (Contextual, Accountable and Responsible Ethics for Artificial Intelligence in Healthcare) Framework sets out nine consensus-based principles for responsible AI use across health professions education, research, and care. It provides ethical guidance for using AI in ways that are safe, equitable, transparent, and professional. The Implementation Guide & Toolkit translates those principles into practical actions, structured prompts, and governance strategies for daily practice. This specialized 3-day program will allow you to learn and leverage the CARE-AI Toolkit in assessing your organization’s readiness, barriers, and key priorities for AI use and leave with an actionable, personalized AI implementation plan.
